
Building Predictive Models for Hiring Excellence
2 days ago
A Data Scientist is responsible for building large-scale models that predict on-the-job performance more accurately than human interviews.
We are a cutting-edge AI platform that powers hiring at top tech labs and has scaled rapidly in just 11 months. As a key member of our team, you will be responsible for analyzing and experimenting with data to drive product decisions.
- Design and run A/B tests and quasi-experiments to inform product decisions.
- Build source-of-truth dashboards and lightweight data models to enable self-service analytics.
- Instrument events with engineers to improve data quality and latency.
To succeed in this role, you should have solid fundamentals in statistics, SQL, and Python, as well as experience with experiment design and causal thinking.
You will thrive in an environment where you can iterate fast, frame questions, test, and ship results in days, and communicate clearly with engineers, product managers, and leadership.
Qualifications include:
- 0-2 years of experience in data science or analytics.
- BS/BA in a quantitative field or equivalent work experience.
- Strong SQL and Python skills.
- Comfort with experiment design and causal thinking.
Benefits include:
- Generous equity compensation.
- $20K relocation bonus.
- $10K housing bonus.
- $1K/month food stipend.
- Equinox membership.
- Health insurance.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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